ANNA UNIVERSITY, CHENNAI
REGULATIONS - 2013
CU7004 DETECTION AND ESTIMATION THEORY SYLLABUS
CU7004 DETECTION AND ESTIMATION THEORY SYLLABUS
ME 2ND SEM ELECTRONICS AND COMMUNICATION ENGINEERING SYLLABUS
OBJECTIVES: |
| CU7103 OPTICAL NETWORKS SYLLABUS |
1. To enable the student to understand the basic principles of random signal processing , spectral estimation methods and their applications.
2. To enable the student to understand the different signal detection and estimation methods used in communication system design and the implications of proper synchronization methods for proper functioning of the system.
UNIT I DISCRETE RANDOM SIGNAL PROCESSING
Discrete Random Processes- Ensemble Averages, Stationary processes, Bias and Estimation, Autocovariance, Autocorrelation, Parseval’s theorem, Wiener-Khintchine relation, White noise, Power Spectral Density, Spectral factorization, Filtering Random Processes, Special types of Random Processes – ARMA, AR, MA – Yule-Walker equations.
UNIT II SPECTRAL ESTIMATION
Estimation of spectra from finite duration signals, Nonparametric methods – Periodogram, Modified periodogram, Bartlett, Welch and Blackman-Tukey methods, Parametric methods – ARMA, AR and MA model based spectral estimation, Solution using Levinson-Durbin algorithm.
UNIT III DETECTION AND ESTIMATION CRITERIA
Detection criteria : Bayes detection techniques, MAP, ML,– detection of M-ary signals, Neyman Peason, minimax decision criteria. Estimation: linear estimators, non-linear estimators, Bayes, MAP,ML, properties of estimators, phase and amplitude estimation.
UNIT IV SYNCHRONIZATION
Signal parameter estimation, carrier phase estimation, symbol timing estimator, joint estimation of carrier phase and symbol timing.
UNIT V RECEIVERS FOR AWGN AND FADING CHANNELS
Optimum receivers for AWGN channel -Correlation demodulator, matched filter, maximum likelihood sequence detector, envelope detectors for M-ary signals; Characterization of fading multipath channels, RAKE demodulator, Multiuser detection techniques.
TOTAL: 45 PERIODS
REFERENCES:
1. Monson H. Hayes, ‘Statistical Digital Signal Processing and Modeling”, John Wiley and Sons, Inc, Singapore, 2002
2. John J. Proakis, Dimitris G. Manolakis, : Digital Signal Processing’, Pearson Education, 2002.
3. John G. Proakis., ‘Digital Communication’, 4 th edition, Mc Graw Hill Publication, 2001.
4. Bernard Sklar and Pabitra Kumar Roy, Digital Communications: Fundamentals and Applications, 2/E, Pearson Education India, 2009
5. John G. Proakis, Masoud Salehi, “Communication Systems Engineering”, Prentice Hall, 1994.
OUTCOMES:
1. The student would be able to demonstrate an understanding of the basic principles of random signal processing, spectral estimation methods and their applications.
2. The student would be able to demonstrate an understanding of the different signal detection and estimation methods used in communication system design and the implications of proper synchronization methods for proper functioning of the system.
3. The student would be in a position to apply his knowledge for designing a baseband system addressing the channel impairments.
4. Heinrich Meyer, Mare Moeneclacy, Stefan. A. Fechtel, " Digital communication receivers", Vol I & Vol II, John Wiley, New York, 1997.
5. Sergio Verdu, “Multiuser Detection”, Cambridge University Press, 1998.
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